Color identification for quadcopter flight control and object inspection
This study focuses on quadcopter flight control and image application. The proposed quadcopter can be applied to inspect rust or damage areas of ship hull. Real-time image identification with proper devices is also proposed. Proportional–integral–derivative control and fuzzy control are used in flig...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2019-02-01
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| Series: | Advances in Mechanical Engineering |
| Online Access: | https://doi.org/10.1177/1687814018822559 |
| _version_ | 1818536650078158848 |
|---|---|
| author | Yi-Sheng Lee Jih-Gau Juang |
| author_facet | Yi-Sheng Lee Jih-Gau Juang |
| author_sort | Yi-Sheng Lee |
| collection | DOAJ |
| description | This study focuses on quadcopter flight control and image application. The proposed quadcopter can be applied to inspect rust or damage areas of ship hull. Real-time image identification with proper devices is also proposed. Proportional–integral–derivative control and fuzzy control are used in flight control design. Due to hardware limitation of the quadcopter, complicate control theory is avoid in controller design. A simple fuzzy control is used in this study. In sensor fusion, air pressure altimeter, Global Positioning System (GPS), ultrasonic sensor, and optical flow sensor are utilized to maintain altitude holding in outdoor and indoor environments. In color identification, Pixy (CMUcam5) camera is used to perform image processing and image tracking. Signals from different sensors are processed in the Arduino board. In flight simulation, pitch and roll angle commands are constructed in a rule table. Flight control can be performed by feedback tracking error, and software simulations for proportional–integral–derivative and fuzzy control are given. |
| first_indexed | 2024-12-11T18:40:41Z |
| format | Article |
| id | doaj.art-4887124cf8134283b8ddb9e1fcc77a06 |
| institution | Directory Open Access Journal |
| issn | 1687-8140 |
| language | English |
| last_indexed | 2024-12-11T18:40:41Z |
| publishDate | 2019-02-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Advances in Mechanical Engineering |
| spelling | doaj.art-4887124cf8134283b8ddb9e1fcc77a062022-12-22T00:54:38ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402019-02-011110.1177/1687814018822559Color identification for quadcopter flight control and object inspectionYi-Sheng Lee0Jih-Gau Juang1Giantplus Technology Co., Ltd., Hukou, TaiwanNational Taiwan Ocean University, Keelung, TaiwanThis study focuses on quadcopter flight control and image application. The proposed quadcopter can be applied to inspect rust or damage areas of ship hull. Real-time image identification with proper devices is also proposed. Proportional–integral–derivative control and fuzzy control are used in flight control design. Due to hardware limitation of the quadcopter, complicate control theory is avoid in controller design. A simple fuzzy control is used in this study. In sensor fusion, air pressure altimeter, Global Positioning System (GPS), ultrasonic sensor, and optical flow sensor are utilized to maintain altitude holding in outdoor and indoor environments. In color identification, Pixy (CMUcam5) camera is used to perform image processing and image tracking. Signals from different sensors are processed in the Arduino board. In flight simulation, pitch and roll angle commands are constructed in a rule table. Flight control can be performed by feedback tracking error, and software simulations for proportional–integral–derivative and fuzzy control are given.https://doi.org/10.1177/1687814018822559 |
| spellingShingle | Yi-Sheng Lee Jih-Gau Juang Color identification for quadcopter flight control and object inspection Advances in Mechanical Engineering |
| title | Color identification for quadcopter flight control and object inspection |
| title_full | Color identification for quadcopter flight control and object inspection |
| title_fullStr | Color identification for quadcopter flight control and object inspection |
| title_full_unstemmed | Color identification for quadcopter flight control and object inspection |
| title_short | Color identification for quadcopter flight control and object inspection |
| title_sort | color identification for quadcopter flight control and object inspection |
| url | https://doi.org/10.1177/1687814018822559 |
| work_keys_str_mv | AT yishenglee coloridentificationforquadcopterflightcontrolandobjectinspection AT jihgaujuang coloridentificationforquadcopterflightcontrolandobjectinspection |